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Fuzzy rough sets based on hybrid monotonic inclusion measures and similarity measures

  • Xi'an Shiyou University
  • Xidian University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Rough set theory and fuzzy set theory hold the topic of dealing with imperfect knowledge. Recent literature have shown both theories can be combined into a more expressive framework for modeling and processing incomplete information systems. According to the hierarchical characteristic of fuzzy sets, this paper presents the definitions of λ-weak fuzzy approximation space and ISλ-fuzzy rough set based on a hybrid monotonic inclusion measure and a similarity measure. The properties of the ISλ- fuzzy rough set are investigated. The approximate operators of a fuzzy decision concept and the relative decision rules will be derived from the fuzzy rough approximate operators.

源语言英语
主期刊名2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010
DOI
出版状态已出版 - 2010
活动2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010 - Toronto, ON, 加拿大
期限: 12 7月 201014 7月 2010

出版系列

姓名Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

会议

会议2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010
国家/地区加拿大
Toronto, ON
时期12/07/1014/07/10

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